已发表: 01/16/2015
已发表: 01/16/2015
Eni—the Italian oil and gas company—has implemented the INTERSECT high resolution reservoir simulator across its most complex global assets to drive computational efficiencies and improve model accuracy. In many cases the simulator has been introduced to overcome project limitations imposed by existing technologies, as the company seeks to understand increasingly complex reservoirs and optimize decision making.
Impressive results have been obtained thanks to the combination of high-resolution simulation technology delivered by the INTERSECT simulator, and the strong technical competencies of the Eni team.
In the Baker field, USA, Eni had used an existing simulator for history matching and depletion scenarios for the field's 117 wells. However, the simulator did not have the power to model the effects of down-dip aquifer CO2 injection. Eni's existing simulator was unable to undertake the required simulations, in a reasonable timeframe. The INTERSECT simulator allowed the asset team to model the CO2 injection in a faster, more economic, timeframe and obtain viable results.
Eni introduced the technology to correctly model similar effects in the Cormorant field—a recently discovered West African, deepwater, turbidite-channelized reservoir. The INTERSECT simulator allowed the team to capture permeability contrasts associated with a large degree of heterogeneity, in the context of a water-alternating gas (WAG) injection strategy characterized by countercurrent flow—a result impossible to achieve with the former simulator.
This was also the case in the Norma field, West Africa—an offshore heterogeneous, tight oil reservoir featuring turbiditic currents. Eni's development plan required local grid refinements (LGR) for all development wells to optimally represent the hydraulic fracturing plans. Here, an impressive reduction in simulation runtimes was achieved—from the 20 hours required by the former reservoir simulator to only 26 minutes.
The company used the INTERSECT simulator for a number of development studies around the super-giant Tango field, a large heavy and high-viscosity oil reservoir in South America. The reference development strategy was primary depletion by means of a very large number of horizontal wells—approximately 1,600. The INTERSECT simulator emphasized the impact of improved grid resolution on simulation results. The team observed an enhanced description of the phases interplay, highlighting the detailed dynamical behaviour in interwell regions caused by the difference in mobility between oil and water, which has an important impact in production performance. The impact on the simulation results clearly indicated that detailed grids were needed to correctly manage future production activities.
For the deepwater Mango field, offshore West Africa, Eni used the
INTERSECT simulator on a simulation model covering 15 years of water
flooding. The highly faulted, channelled, heterogeneous reservoir was
characterized by a complex structural framework in a flowerfault setting.
This model would not run in an economic timeframe using the
reference simulator, so the INTERSECT simulator was introduced to achieve
the finalization of the integrated reservoir study within project
deadlines. It also delivered performance improvements—the power of
the INTERSECT simulator made upscaling unnecessary, saving further
time and
providing more accurate forecast results.
Eni will continue using the INTERSECT simulator globally to overcome the technical challenges of running efficient and detailed simulations for large and complex fields, including the implementation of unstructured gridding and proprietary workflows. A strong focus will be placed on the simulation of enhanced oil recovery (EOR) techniques in order to increase field recovery factors. Advanced simulation process and workflows will leverage the outstanding computational performance of the Eni HPC2 High Performance Computing Cluster, featuring 30,000 computational cores and 3,000 tesla accelerators. Using HPC2, Eni is currently running INTERSECT models with hundreds of millions of active cells. This new reservoir modeling strategy will improve decision making through more detailed geological descriptions, and accelerated subsurface development plan screening.
“Intersect allows us to run more simulations, more frequently, at the geological model scale and avoid upscaling and related approximations. In the future, we will build increasingly detailed models to compare the benefits of different complex recovery methods.”
Advanced Modeling Manager, Eni
Challenge: Improve reservoir modeling and simulation across complex assets worldwide, to optimize prediction reliability and accelerate corporate decision making.
Solution: Introduce INTERSECT high-resolution reservoir simulator to overcome existing simulation limitations, taking advantage of the computational power available at the Eni HPC2 computing center.
Results: Decision making across key global assets now based on strategic input provided, in economic timeframes, through the computationally efficient simulation of large and complex reservoirs. Impressive results have been obtained thanks to the combination of high-resolution simulation technology delivered by the INTERSECT simulator, and the strong technical competencies of the Eni team.
